A storage cluster is provided. The storage cluster includes a plurality of storage nodes coupled together as the storage cluster. The plurality of storage nodes is configured to assign data to two or more logical arrays and the plurality of storage nodes is configured to establish data striping across the plurality of storage nodes for user data of each of the two or more logical arrays.

Embodiments for managing unequal workloads between Network Shared Disks (NSD) in a networked computing environment by a processor. Additional space may be carved out from at least one of a plurality of NSDs in a cluster file system, upon detecting an unbalanced load between the plurality of NSDs, while maintaining a predetermined level of usage according to a performance profile of the plurality of NSDs.

In one aspect of write sort management in accordance with the present disclosure, a write sort task related to write sorting a write list of data units to be destaged to storage, is assigned to a storage controller to improve the load balance among plural storage controllers. In one embodiment, available processing capacities of each of the storage controllers is determined by, for example, polling each of the storage controllers. A write sort task may then be assigned to a selected storage controller as a function of determined available processing capacities of each of the storage controllers to improve the load balance among the storage controllers. Other aspects and advantages are provided, depending upon the particular application.

In an approach for generating differentiated workload telemetry data, a processor corresponds one or more services with a workload related telemetry generating an event emitter. A processor performs a correlation analysis of corresponding relationship and connection among connected resources and current traffic into and out of the one or more services. A processor labels domain context for each telemetry event. A processor communicates each telemetry event to a global event handler. A processor performs a cross-correlation in real-time of telemetry data with the global event handler. A processor updates a real-time differentiated workload report.

The present disclosure describes apparatuses and methods for virtualizing isolation areas of solid-state storage media. In some aspects, a storage media accelerator determines, via a storage media interface, a geometry of solid-state storage media. The accelerator selects, based on the geometry, an area of the solid-state storage media as an isolated unit of storage. A physical address of the isolated unit of storage is then mapped to a virtual address. The accelerator exposes, via the virtual address, the isolated unit of storage through a host interface to enable host access of the isolated unit of storage. The accelerator may also remap the isolated unit of storage to other areas of the solid-state storage media without host interaction. By so doing, the accelerator may provide virtualized isolation and partitioning functionalities to a host, while efficiently handling lower-level storage media functions, such as wear leveling and load balancing, without host involvement.

Systems and methods for managing data storage using a distributed file system are provided. In one example, a relocation event is detected that indicates a relocation is to be initialized. The relocation is initialized by identifying a destination node of a distributed storage system for the relocation of a set of objects in a cluster database, including a logical block device, a corresponding logical aggregate, and a corresponding file system volume. A state of each of the set of objects is changed to offline. The set of objects are then relocated from an originating node of the distributed storage system to the destination node in which the corresponding logical aggregate is relocated after the logical block device and the corresponding file system volume is relocated after the logical aggregate. Finally, the state of each of the set of objects is changed to online.

Methods and systems for electronic storage are provided. A storage system comprises a plurality of storage system front ends, a plurality of storage system back ends, and a plurality of solid state drive (SSD) agents. Each storage system front end resides on a server of a plurality of servers. Each server of the plurality of servers comprises one or more storage system back ends of the plurality of storage system back ends. Each storage system front end is able to receive I/O requests and relay information associated with the I/O requests to a relevant storage system back end. The relevant storage system back end communicates metadata associated with the I/O request to an SSD via an SSD agent.

Role enforcement for storage-as-a-service including managing, for a storage system, a plurality of roles including a storage consumer role and a storage provider role, wherein the storage consumer role is associated with data management instructions that are enabled for the storage consumer role and disabled for the storage provider role, and wherein the storage provider role is associated with storage management instructions that are enabled for the storage provider role and disabled for the storage consumer role; servicing a data management instruction from a first client associated with storage consumer role, wherein the data management instruction is an instruction to manipulate data on the storage system; and servicing a storage management instruction from a second client associated the storage provider role, wherein the storage management instruction is an instruction to manage the storage system.

Monitoring gateways to a storage environment including accessing, by a cloud-based monitoring system, a management gateway for a fleet of storage systems in a storage environment; determining, by the cloud-based monitoring system via the management gateway, a location for each storage system in the fleet of storage systems; monitoring, by the cloud-based monitoring system via the management gateway, the fleet of storage systems using the location of each storage system by crawling each storage system to retrieve storage system characteristics; and generating, by the cloud-based monitoring system, a fleet alteration proposal based on the storage system characteristics from each storage system in the fleet of storage systems.

Rebalancing in a fleet of storage systems using data science including generating, by the cloud-based rebalancing system, a plurality of workload migration scenarios to address a detected workload imbalance among a plurality of workloads in a fleet of storage systems; determining, by the cloud-based rebalancing system, a plurality of movement vectors for each workload migration scenario, wherein each of the plurality of movement vectors describes a consideration factor for migrating a workload of the plurality of workloads within the fleet of storage systems; and generating, by the cloud-based rebalancing system, at least one rebalancing proposal based on the plurality of movement vectors for each workload migration scenario.